Isaac Valme — Co-Founder
You can have every credential in healthcare and still miss a pattern building across three units because the data lives in three different spreadsheets. I know because I lived it. RHIA. CCS. I was the one sitting in the spreadsheet at 6pm, pulling quality data so nursing could see where they stood before the survey. Fall rates climbing on two floors. Documentation compliance slipping on a third. Nobody connecting the dots because each unit only saw their own numbers. I sat in the data every day. I could see the patterns. But the reports I was building couldn't show them fast enough for anyone to act on. By the time leadership saw what I pulled together, the gaps had already shifted. I was building a rearview mirror when they needed a windshield. The problem was never the people. It was never staffing. It was visibility. So I stopped being the person pulling the data and started building the reporting that replaces that person. Through Dados, we go into health systems, pull their Epic data, and build compliance reporting broken down by standard, by unit, by surveyor priority. Your team doesn't learn a new platform. Most systems are live in 4-8 weeks. One example: we rebuilt a health system's TJC stroke measure reporting. Their Epic timestamps were pulling wrong data across the stroke timeline. Door to CT. Door to needle. tPA administration. Nurses were delivering the right care inside the right windows, but the reporting said they weren't. We fixed the data logic from last known well through tPA bolus. Cut reporting from 40+ hours a month to under 5. We've also built reporting across sepsis, heart failure, and other core measure sets. Same approach. Fix the data logic. Build reporting your team can trust. → UF Health Shands → Lurie Children's Hospital → Hackensack Meridian Health We come from the clinical data side, not just the technical side. We've built these reports across multiple systems. And compliance reporting is all we do. Better reporting doesn't replace your team. It gives them a chance to do their job instead of pulling data that's already stale. Want to see what this looks like for your system? DM me.
Stackforce AI infers this person is a Healthcare Data Strategy expert with strong analytics and reporting capabilities.
Location: Houston, Texas, United States
Experience: 12 yrs 7 mos
Skills
- Healthcare Data Strategy
- Project Management
- Data Governance
- Data Strategy
- Product Management
- Data Analysis
- Compliance
Career Highlights
- Reduced reporting time from 40+ hours to under 5.
- Led data correction of $1B in errors.
- Implemented automation saving 1,440 hours annually.
Work Experience
Eli Lilly and Company
Principal Data Strategy Consultant (1 yr 7 mos)
Walmart
Product Innovation (Al) and Health Research Lead (10 mos)
Dados Consulting
President (4 yrs 3 mos)
UF Health
Project Lead/Clinical Data Analyst (6 yrs 8 mos)
Quality Data Abstractor (10 mos)
Orchid Medical Company
Operations Analyst | Worker's Compensation (10 mos)
Education
HIM B.S. at University of Central Florida
Master of Theology at Oval Bible Institute
Associate of Arts (A.A.) at College of Central Florida
